most citedZeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction

10 citations · 24 across the 4 of their papers we have counts for

collaborators

5 papers

eess.AS2023

Improving Speech Recognition for African American English With Audio Classification

Shefali Garg, Zhouyuan Huo, Khe Chai Sim +11

Automatic speech recognition (ASR) systems have been shown to have large quality disparities between the language varieties they are intended or expected to recognize. One way to m…

cs.CL20232 cited

Efficient Domain Adaptation for Speech Foundation Models

Bo Li, Dongseong Hwang, Zhouyuan Huo +8

Foundation models (FMs), that are trained on broad data at scale and are adaptable to a wide range of downstream tasks, have brought large interest in the research community. Benef…

cs.LG201610 cited

Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction

Bin Gu, Zhouyuan Huo, Heng Huang

Zeroth-order (derivative-free) optimization attracts a lot of attention in machine learning, because explicit gradient calculations may be computationally expensive or infeasible.…

cs.LG20168 cited

Asynchronous Stochastic Block Coordinate Descent with Variance Reduction

Bin Gu, Zhouyuan Huo, Heng Huang

Asynchronous parallel implementations for stochastic optimization have received huge successes in theory and practice recently. Asynchronous implementations with lock-free are more…

cs.LG20164 cited

Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction

Zhouyuan Huo, Bin Gu, Heng Huang

In the era of big data, optimizing large scale machine learning problems becomes a challenging task and draws significant attention. Asynchronous optimization algorithms come out a…